A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

이 문서는 Andrej Karpathy가 아래 링크에 올린 마크다운 문서를 한국어로 옮긴 문서입니다.

원문 링크: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f

LLM을 사용하여 개인 지식 기반(personal knowledge bases)을 구축하는 패턴.

이 문서는 아이디어를 담은 파일로, 여러분의 LLM 에이전트(예: OpenAI Codex, Claude Code, OpenCode / Pi 등)에 복사하여 붙여넣기 할 수 있도록 설계되었습니다. 이 글의 목표는 고수준의 개념을 전달하는 것이며, 구체적인 사항은 에이전트가 여러분과 힘을 합쳐 구축해 나갈 것입니다.

📅 最后更新：2025年7月22日
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